Legal Engineering Associate

About Legal Engineering

The Legal Division advances and protects the interests of the firm by providing high-quality legal advice and helping identify and address legal, regulatory and reputational risk. Legal Engineering supports this mission by designing, building and operating user-facing, workflow, data and AI-enabled platforms that help legal professionals work effectively and make well-informed decisions. Engineers work directly with business partners and cross-functional teams, combining modern software engineering, cloud platforms, data capabilities, and responsible artificial intelligence to solve complex problems in a controlled environment.

Your Impact

As an Analyst or Associate Software Engineer, you will contribute across the full software development lifecycle. You will turn business needs and written specifications into tested, maintainable solutions, while using AI-assisted development tools thoughtfully and remaining accountable for the quality, security, and correctness of the resulting code.

Key Responsibilities

• Design, develop, test, deploy, and support full-stack applications, APIs, workflows, and data-processing services used by Legal Division stakeholders.
• Provide ongoing application support and work directly with users to understand and resolve day-to-day needs, questions, and production issues; troubleshoot problems, communicate status clearly, and implement sustainable fixes that improve reliability and user experience.
• Partner with legal professionals, product managers, designers, and engineers to understand problems, clarify requirements, and deliver practical end-to-end solutions.
• Participate in a spec-driven design process by helping convert business objectives into clear functional requirements, technical specifications, acceptance criteria, interfaces, and test scenarios before implementation.
• Write clean, maintainable, and well-tested code grounded in strong software engineering fundamentals, while effectively leveraging AI-assisted development tools such as Devin, GitHub Copilot, and Claude Code to accelerate delivery.
• Exercise sound engineering judgment by critically evaluating, validating, and refining AI-generated solutions to ensure they are correct, secure, scalable, and appropriate for the problem being solved.
• Build intuitive user experiences and reliable backend services using technologies appropriate to the product, including TypeScript, React, Python, Java, and API frameworks.
• Work with structured and unstructured data, including data mapping, transformation, search, and integration patterns.
• Operate collaboratively in an agile environment, communicate trade-offs clearly, and continuously learn new technologies and domain concepts.

Basic Qualifications

• Bachelor's or Master's degree in Computer Science, Computer Engineering, Software Engineering, Mathematics, Statistics, Engineering, or a closely related technical field.
• Foundational knowledge of computer science concepts, including data structures, algorithms, object-oriented or functional design, databases, networking, and software testing.
• Hands-on programming experience in one or more modern languages. Experience with TypeScript / JavaScript, Python, and Java is especially relevant.
• Experience building or contributing to web applications, backend services, or APIs.
• Understanding of software development lifecycle practices, version control, automated testing, and continuous integration and deployment concepts.
• Comfort using AI-assisted development tools such as Devin, GitHub Copilot, or Claude Code, together with the judgment to independently inspect, test, and challenge generated code rather than accept it without review.
• Strong analytical and problem-solving skills, attention to detail, and the ability to communicate clearly with both technical and non-technical stakeholders.
• Intellectual curiosity, sound judgment, and a willingness to learn the legal domain, new technologies, and emerging AI engineering practices.

Preferred Qualifications

• Experience with relational or NoSQL databases, data modeling, data manipulation, or data mapping.
• Exposure to cloud platforms, containers, and orchestration technologies such as Kubernetes.
• Knowledge of API design, event-driven architectures, search platforms, or real-time processing.
• Experience with modern AI / machine learning ecosystems, including retrieval-augmented generation, agent frameworks, model evaluation, or prompt and context engineering.
• Experience with Microsoft 365 extensibility, including Office.js, is a plus.
• Interest in financial services, legal technology, compliance, risk, or other highly controlled business environments.

Core Technology Exposure

Depending on the product and team, the role may involve: TypeScript, JavaScript, React, Python, FastAPI, Flask, Java, REST APIs, GraphQL, relational and NoSQL databases, search technologies, messaging platforms, Kubernetes, cloud services, automated testing, RAG and agent frameworks, Devin, GitHub Copilot, Claude Code, and Office.js. Technology choices vary by solution. Candidates are not expected to have prior experience with every technology listed; strong engineering fundamentals, learning agility, and disciplined delivery are essential.